Concepts, explained
Vibe coding, explained — what it is and how to do it well
Vibe coding is building software by describing what you want and letting AI write it — steering by feel rather than by syntax. It's genuinely powerful and genuinely easy to do badly.
A couple of years ago “vibe coding” was half a joke — a term for leaning back and letting the AI write the code while you nudge it by feel. Then enough people did it, and built real things, that the joke became a genuine way of working. It’s worth understanding properly, because it’s powerful, it’s everywhere, and it’s easy to do in a way you’ll regret.
What it actually means
Vibe coding is building software by describing what you want in plain language and letting an AI write the code — then steering by the result rather than by the syntax. You don’t read every line. You look at whether the thing works, whether it feels right, and you say “no, make the button bigger” or “that’s wrong, the total should include tax,” and the AI adjusts.
You’re directing by vibe — by the shape of the outcome — instead of by hand-crafting each instruction to the computer. The AI handles the translation from intention to code.
Why it works at all
This only became possible because two things matured at once: models got good enough to write correct code from loose descriptions, and agents got good enough to act, see the result, and fix their own mistakes. Together they close the loop. You say what you want, the agent builds it, runs it, notices it’s broken, and tries again — often before you’ve even seen the first attempt.
The result genuinely feels like magic the first time: you describe an app, and an app appears. For a lot of people, it’s the first time building software has felt accessible at all.
Where vibe coding shines
It’s a fantastic fit for a real set of situations:
- Prototypes. When the goal is to see if an idea works at all, speed beats polish. Vibe coding gets you a working version to react to in minutes.
- Personal tools. A little script to rename your photos, a dashboard only you’ll use, a one-off data cleanup. The stakes are low and the convenience is high.
- Learning. Building something you care about, then asking the AI to explain how it works, is one of the best ways to actually learn — far better than reading abstractly.
- Getting unstuck. When you know what you want but not how to express it, describing the goal and letting the AI draft a starting point breaks the blank-page paralysis.
In all of these, the thing you’re optimising for is momentum, and vibe coding delivers it.
Where it bites
The same looseness that makes it fast makes it dangerous in the wrong place. The core risk is simple: you can end up shipping something you don’t understand.
That’s fine for a photo-renaming script. It’s not fine when the code handles money, personal data, security, or anyone’s trust but your own. Software that works in the happy case can fail in ways you won’t see coming if nobody understands how it actually behaves — and “the AI wrote it” is not a comfort when something breaks in front of a customer.
The other quiet trap is that understanding grows slower than output. You can produce a lot of working code without your grasp of it keeping pace. That gap is fine until the day something goes wrong and you need to fix it — and you’re staring at code you’ve never really read.
How to vibe code without regret
You don’t have to choose between the speed and the safety. A few habits get you most of both:
- Match the technique to the stakes. Vibe freely on prototypes, personal tools, and throwaways. Slow down — read, understand, verify — the moment it touches money, data, security, or other people.
- Ask it to explain what it built. “Walk me through what this does and where it could go wrong” turns output into understanding. Do this especially before you trust something.
- Keep it modest until your understanding catches up. Build small. A tool you understand fully beats a sprawling one you don’t.
- Make it plan first for anything real. “Before you build, tell me your approach” surfaces misunderstandings while they’re cheap to fix — and teaches you the shape of the solution.
- Review the changes. Even if you can’t read every line fluently, skim the diff. You’ll catch the obviously-wrong file more often than you’d think.
The honest framing
Vibe coding isn’t a lesser form of building, and it isn’t a reckless one — it’s a tool, and like any tool, the skill is knowing when to reach for it. Used on the right problems, it’s one of the most empowering things AI has unlocked: it lets far more people make working software, and it lets experienced builders move at a pace that used to be impossible.
The people who get burned aren’t the ones who vibe code. They’re the ones who vibe code everything, including the things that needed care. Keep the speed for where speed is the point, bring understanding to where it matters, and you get the best of it with none of the regret.
Questions people ask
- What does "vibe coding" actually mean?
- Building software by describing what you want in plain language and letting an AI write the code — steering by the result and the feel of it rather than by reading and writing every line yourself. The term caught on in 2025 and stuck because it names something a lot of people had started doing.
- Is vibe coding a bad thing?
- Not inherently. It's excellent for prototypes, personal tools, and learning. It gets risky when people ship code they don't understand into situations that matter — handling money, personal data, or other people's trust. The technique is fine; the judgement about *when* to use it is what counts.
- Can non-programmers vibe code?
- Yes — that's much of the appeal. You can build a working tool by conversation alone. The catch is that understanding grows slower than output, so it pays to ask the AI to explain what it built and to keep what you make modest until your understanding catches up.